KerasTuner is a hyperparameter optimization framework for Keras and TensorFlow models. It allows users to define hyperparameter search spaces using a define-by-run syntax and supports multiple search algorithms including Bayesian Optimization, Hyperband, and Random Search. The library is designed to be extensible for researchers to implement and experiment with new search algorithms.